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SUMMARY:Computational Neuroscience Journal Club - Neil Housby (Cambridge U
 niversity)
DTSTART:20100309T160000Z
DTEND:20100309T170000Z
UID:TALK23109@talks.cam.ac.uk
CONTACT:Dr Jean-Pascal Pfister
DESCRIPTION:Neil Housby will talk about:\n\nBayesian Spiking Neurons II: L
 earning\n\nfrom Sophie Deneve. Neural Computation 2008\,  20 (1)\,  118-14
 5.\n\nhttp://www.mitpressjournals.org/doi/abs/10.1162/neco.2008.20.1.118\n
 \nAbstract:\n\nIn the companion letter in this issue (“Bayesian Spiking 
 Neurons I: Inference”)\, we showed that the dynamics of spiking neurons 
 can be interpreted as a form of Bayesian integration\, accumulating eviden
 ce over time about events in the external world or the body. We proceed to
  develop a theory of Bayesian learning in spiking neural networks\, where 
 the neurons learn to recognize temporal dynamics of their synaptic inputs.
  Meanwhile\, successive layers of neurons learn hierarchical causal models
  for the sensory input. The corresponding learning rule is local\, spike-t
 ime dependent\, and highly nonlinear. This approach provides a principled 
 description of spiking and plasticity rules maximizing information transfe
 r\, while limiting the number of costly spikes\, between successive layers
  of neurons.
LOCATION:Cambridge University Engineering Department\, CBL Rm #438 (http:/
 /learning.eng.cam.ac.uk/Public/Directions)
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